Instructions to use nikitastheo/LTG-BERT-tiny10m-nogen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikitastheo/LTG-BERT-tiny10m-nogen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nikitastheo/LTG-BERT-tiny10m-nogen", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("nikitastheo/LTG-BERT-tiny10m-nogen", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8b77ea5088c6a1b9cd8c3f56a4506321b07402371fc415c67da796824ff9bc5
- Size of remote file:
- 120 MB
- SHA256:
- 2461ca7ed0d0b11e591a169997ea907e94de2e77844b92f43c2af04103253a95
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